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On symbolic model order reduction
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2006Symbolic model order reduction (SMOR) is a macromodeling technique that generates reduced-order models while retaining the parameters in the original models. Such symbolic reduced-order models can be repeatedly simulated with a greater efficiency for varying model parameters.
Guoyong Shi, Bo Hu, Chuanjin Richard Shi
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Order reduction with partial ARMA-modeling
1999 European Control Conference (ECC), 1999In this paper a new method for order reduction of large FE-models is presented. Many order reduction methods known from the literature fail when they are applied to large parametric models. The method proposed here is based on numerical data. Therefore this method can be seen as an identification method as well.
Karl-Bernhard Lederle +2 more
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Model order reduction by selective sensitivity
AIAA Journal, 1997Summary: Many industrial structures are represented by models with a large number of degrees of freedom, thus making their use complex and costly. Model order reduction alleviates this problem by elaborating lower-dimensional models that satisfy some properties of the refined model.
Cogan, Scott +3 more
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2023
Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador +2 more
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Reasonably recently, a new efficient method appeared for solving complex non-linear differential equations (and systems of differential equations). In this method -- known as Model Order Reduction (MOR) -- we select several solutions, and approximate a general solution by a linear combination of the selected solutions.
Robles, Salvador +2 more
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On the σ - reciprocal system for model order reduction
Mathematical Modelling of Systems, 1995This paper introduces the definition of the \(\sigma\)-reciprocal system. It is shown that generalized singular perturbation approximation for a given system can be converted to direct truncation of the \(\sigma\)-reciprocal system. Some other properties (frequency domain characterization, \(H_\infty\)-norm, etc.) of this system are outlined with ...
MUSCATO, Giovanni, NUNNARI, Giuseppe
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Introduction to Model Order Reduction
2008In this first section we present a high level discussion on computational science, and the need for compact models of phenomena observed in nature and industry. We argue that much more complex problems can be addressed by making use of current computing technology and advanced algorithms, but that there is a need for model order reduction in order to ...
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Advanced Topics in Model Order Reduction
2015This chapter contains three advanced topics in model order reduction (MOR): nonlinear MOR, MOR for multi-terminals (or multi-ports) and finally an application in deriving a nonlinear macromodel covering phase shift when coupling oscillators. The sections are offered in a preferred order for reading, but can be read independently.
Harutyunyan, Davit +5 more
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Symbolic model order reduction
Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation, 2004Symbolic model order reduction (SMOR) is the problem of reducing a large circuit that contains symbolic circuit parameters to smaller low order models at its ports. Several methods, including symbol isolation, single frequency point reduction, and multiple frequency point reduction, are described and compared.
B.P. Hu, G. Shi, C.-J.R. Shi
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Multilevel model order reduction
IEEE Microwave and Wireless Components Letters, 2004We present a multilevel Model Order Reduction scheme for enhancing numerical analysis of electromagnetic fields by means of grid based techniques. The scheme allows one to create nested macromodels and combine macromodels with the Fast Frequency Sweep.
L. Kulas, M. Mrozowski
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Structured Model Order Reduction of Parallel Models in Feedback
IEEE Transactions on Control Systems Technology, 2013Parallel working units in closed-loop operation are frequently encountered in industrial applications of advanced process control (boilers, turbines, chemical reactors, etc.). Control strategies typically require different low-order models for each configuration of parallel units. These different models are usually obtained by heuristics applied to the
Pavel Trnka +4 more
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